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Data Engineer I – Data Platform
First Citizens Bank. Design, build, and support scalable data pipelines and cloud-based data solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data pipelines and cloud-based data solutions, with a strong focus on ETL/ELT processes, data quality management, and operational support. Proficient in leveraging cloud technologies and data engineering practices to optimize performance and deliver business intelligence solutions.
Highest-signal resume keywords
Data EngineeringETL/ELT ToolsCloud-Based Data PlatformsAWS ServicesData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLData WarehousingDimensional Data ModelingAirflowDbtCI/CDData Quality ManagementBig Data TechnologiesData Vault Modeling
Soft Skills
CollaborationTroubleshootingCommunication
Tools & Technologies
TableauPower BIDataStageSAP BODSSSISInformaticaCloud-Native TechnologiesAI-Powered Development Tools
Certifications & Qualifications
AWS Certified Cloud PractitionerAWS Certified Developer – AssociateAWS Certified Data Engineer – AssociateSnowPro Core Certification
Industry Keywords
Financial ServicesBankingOperational Data StoresAnalytics PlatformsData ProductsComplianceSecurity
Tech Stack
Tools & technologiesAirflowAWSCloudETLInformaticaPythonSnowflakeSQLSSISTableauVault
About the role
Key responsibilities & impact- Design, build, and support scalable data pipelines and cloud-based data solutions
- Implement data warehouse solutions, dimensional data models, and ETL/ELT processes for reporting, analytics, and business intelligence
- Implement data quality validations, test cases, and controls
- Develop and maintain data tests, including dbt tests
- Support workflow orchestration, monitoring, troubleshooting, log analysis, and production operations using Airflow and cloud-native technologies
- Collaborate with business users, product partners, analysts, and technology teams
- Follow engineering standards, development practices, documentation requirements, and testing procedures
- Participate in pipeline deployments, environment promotion, operational support, and performance optimization using CI/CD processes
- Leverage AI-powered development and productivity tools to improve engineering efficiency, code quality, and delivery outcomes
- Contribute to modernizing enterprise data platforms and delivering cloud-based data solutions supporting business initiatives
Requirements
What you’ll need- Bachelor's Degree and 1 year experience OR High School Diploma or GED/Equivalent and 5 years' experience
- Preferred area of study: Computer Science, Information Systems, Data Science, or related field
- Preferred experience in data engineering, database management, or related field
- Experience with cloud-based data platforms and big data technologies
- Experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies
- Experience with Operational Data Stores (ODS), analytics platforms, and data products
- Experience working with cloud-based and on-premises data environments
- Exposure to Data Vault modeling and modern data warehousing methodologies
- Understanding of data governance, security, compliance, and data quality management practices
- Experience within Financial Services, Banking, or other highly regulated industries
- Familiarity with Tableau, Power BI, or other analytics and visualization platforms
- Experience using AI-powered development and productivity tools
- AWS Certified Cloud Practitioner, AWS Certified Developer – Associate, AWS Certified Data Engineer – Associate, SnowPro Core Certification, or equivalent cloud and data platform certifications
- Proficiency in AWS Services, Snowflake, dbt, Python, SQL, Airflow, ETL/ELT, data warehousing, dimensional data modeling, CI/CD, and cloud-native technologies
Benefits
Comp & perks- Benefits program as part of total rewards
- Variable incentives, bonuses, benefits, and/or other awards may be included in total compensation